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Machine Learning Engineer Intern Jobs in Cary, NC

RELX

Machine Learning Engineer Lead

Raleigh, NC

$115K - $192K/yr

We are seeking a Machine Learning Engineer Lead to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This ...

WGU

Senior Machine Learning Engineer

Raleigh, NC

$157K - $243K/yr

Master's degree in Computer Science, Software Engineering, Data Science, Machine Learning, Mathematics, Physics, or a related field; or equivalent relevant experience. * 5+ years of software ...

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

OptiTrack

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning.

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

Apple

AIML - Staff Machine Learning Engineer

Cary, NC · On-site

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products.

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

Apple

AIML - Staff Machine Learning Engineer

Cary, NC

$212K - $386K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Cary, NC

Machine Learning Engineer Intern information

See Cary, NC salary details

$23.6K

$39.5K

$81.5K

How much do machine learning engineer intern jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer intern in Cary, NC is $39,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Cary, NC? The most popular types of Machine Learning Engineer jobs in Cary, NC are:
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What cities near Cary, NC are hiring for Machine Learning Engineer Intern jobs? Cities near Cary, NC with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
AIML - Staff Machine Learning Engineer

AIML - Staff Machine Learning Engineer

Apple

Cary, NC

Other

Posted 21 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

AIML - Staff Machine Learning Engineer

Would you like to play a part in the next revolution in human-computer interaction? Come build the future with the Apple Knowledge & Information team. Help lead the creation of a truly personalized user experience, one that adapts to the unique needs and habits of each individual.

Description

The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple's products. Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight.

Responsibilities
  • Engage with leaders and cross-functional partners to define requirements
  • Partner with application developers to build personalized features users love
  • Build entity resolution APIs that Siri application developers love
  • Lead highly cross-functional software projects
  • Mentor junior software engineers
  • Partner with application owners on API design, implementation, and integration
  • Validate new platform features by leading early adoption
Minimum Qualifications
  • 8 years of professional software experience
  • BS in computer science or related fields
  • Experience leading software engineering teams and / or projects
  • Experience designing and shipping novel systems architectures
  • Passion for great products
  • Exceptional software engineering skills
  • Ability to identify similar software solutions and generalize them into libraries / frameworks / platforms
  • Ability to work in a highly collaborative environment
  • Ability and desire to lead a small teams of high impact engineers
Preferred Qualifications
  • 5+ years professional experience developing for Apple's platforms
  • Experience building voice computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc)
  • Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable)
  • Experience building machine learning based systems
  • Mobile and / or embedded development experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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